SRE Skills Bench - GMCQ — leaderboard
Metric: Accuracy (%). Source: sreskillsbench.com. 23 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 92 |
| 2 | GPT-5.5 (High) | 91.8 |
| 3 | Claude Opus 4.7 | 91.7 |
| 4 | GPT-5.4 | 90.3 |
| 5 | GPT-5.3 Codex | 90 |
| 6 | GPT-5.2 | 89.8 |
| 7 | GPT-5.2 Pro | 89.5 |
| 8 | GPT-5.1 | 89.2 |
| 9 | GPT-5.1 Codex Max | 89 |
| 10 | Kimi K2.5 | 88.7 |
| 11 | Claude Sonnet 4.6 | 88 |
| 12 | GPT-5 | 87 |
| 13 | Claude Opus 4.6 | 87 |
| 14 | MiniMax-M2.5 | 86.5 |
| 15 | Qwen 3 VL 235B A22B | 86.2 |
Interactive version: theaggregate.ai/benchmark?slug=sre-skills-bench-gmcq · How the rankings work · Data refreshed daily, snapshot 2026-07-22.